中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Context-based 2D-VLC entropy coder in AVS video coding standard

文献类型:期刊论文

作者Wang, Q; Zhao, DB; Gao, W
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2006-05-01
卷号21期号:3页码:315-322
关键词entropy coder context-based video coding VLC
ISSN号1000-9000
英文摘要In this paper, a Context-based 2D Variable Length Coding (02DVLC) method for coding the transformed residuals in AVS video coding standard is presented. One feature in C2DVLC is the usage of multiple 2D-VLC tables and another feature is the usage of simple Exponential-Golomb codes. C2DVLC employs context-based adaptive multiple table coding to exploit the statistical correlation between DCT coefficients of one block for higher coding efficiency. Exp-Golomb codes are applied to code the pairs of the run-length of zero coefficients and the nonzero coefficient for lower storage requirement. C2DVLC is a low complexity coder in terms of both computational time and memory requirement. The experimental results show that C2DVLC can gain 0.34dB in average for the tested videos when compared with the traditional 2D-VLC coding method like that used in MPEG-2. And compared with CAVLC in H.264/AVC, C2DVLC shows similar coding efficiency.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000238079200004
出版者SCIENCE CHINA PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/10771]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, Q
作者单位1.Harbin Inst Technol, Dept Comp Sci & Technol, Harbin 150001, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Wang, Q,Zhao, DB,Gao, W. Context-based 2D-VLC entropy coder in AVS video coding standard[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2006,21(3):315-322.
APA Wang, Q,Zhao, DB,&Gao, W.(2006).Context-based 2D-VLC entropy coder in AVS video coding standard.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,21(3),315-322.
MLA Wang, Q,et al."Context-based 2D-VLC entropy coder in AVS video coding standard".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 21.3(2006):315-322.

入库方式: OAI收割

来源:计算技术研究所

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